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URL: https://www.coursera.org/learn/researchers-guide-to-omic-fundamentals

⇱ Researcher's guide to omic fundamentals | Coursera

Researcher's guide to omic fundamentals

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Researcher's guide to omic fundamentals

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Gain insight into a topic and learn the fundamentals.
3.8

19 reviews

Intermediate level

Recommended experience

4 hours to complete
Flexible schedule
Learn at your own pace
Gain insight into a topic and learn the fundamentals.
3.8

19 reviews

Intermediate level

Recommended experience

4 hours to complete
Flexible schedule
Learn at your own pace

What you'll learn

  • By the end of the course you will confidently be able to use tutorials and resources to understand and interpret your genomic data.

Details to know

Shareable certificate

Add to your LinkedIn profile

Assessments

15 assignments

Taught in English

Build your subject-matter expertise

This course is part of the Researcher's Guide to Omic Data Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
  • Learn new concepts from industry experts
  • Gain a foundational understanding of a subject or tool
  • Develop job-relevant skills with hands-on projects
  • Earn a shareable career certificate

There are 5 modules in this course

The course is intended for students in the biomedical sciences and researchers who have been given data and don’t know what to do with it or would like an overview of the different genomic data types that are out there.

This course is written for individuals who: - Have genomic data and don’t know what to do with it. - Want a basic overview of genomic data types. - Want to find resources for processing and interpreting genomics data. Goal of this course: Equip learners with tutorials and resources so they can understand and interpret their genomic data in a way that helps them meet their goals and handle the data properly. This includes helping learners formulate questions they will need to ask others about their data What is not the goal Teach learners about choosing parameters or about the ins and outs of every genomic tool they might be interested in. This course is meant to connect people to other resources that will help them with the specifics of their genomic data and help learners have more efficient and fruitful discussions about their data with bioinformatic experts. The course is intended for students in the biomedical sciences who have been given data and don’t know what to do with it or would like an overview of the different genomic data types that are out there.

In this module, we cover the basics of what will be covered in this course and what you should expect. Next we get into an overview of what omic data types and their workflows often look like.

What's included

3 videos3 readings2 assignments1 discussion prompt

3 videos•Total 5 minutes
  • Welcome!•2 minutes
  • Intro to this course•1 minute
  • Summary: Overview of genomic workflows•2 minutes
3 readings•Total 15 minutes
  • Introduction•5 minutes
  • Video Review of What is a Genome•5 minutes
  • A very general overview of genomic data •5 minutes
2 assignments•Total 11 minutes
  • A very general overview of genomic data •6 minutes
  • A very general overview of genomic data•5 minutes
1 discussion prompt•Total 10 minutes
  • What are your goals for this course?•10 minutes

In this module, we cover some considerations for how to choose between different omics tools. Then we talk about what is metadata and how do you make sure you get the most of your metadata?

What's included

2 videos2 readings4 assignments2 discussion prompts

2 videos•Total 3 minutes
  • Summary: Considerations for choosing tools•1 minute
  • Summary: Guidelines for Good Metadata•2 minutes
2 readings•Total 10 minutes
  • Considerations for choosing tools•5 minutes
  • Guidelines for Good Metadata•5 minutes
4 assignments•Total 37 minutes
  • Considerations for choosing tools•15 minutes
  • Guidelines for Good Metadata•12 minutes
  • Considerations for choosing tools•5 minutes
  • Guidelines for Good Metadata•5 minutes
2 discussion prompts•Total 10 minutes
  • Considerations for your project•5 minutes
  • Good Metadata Manuscript•5 minutes

In this module, we build on the previous module's generalities about omic data and get into specifics about sequencing data and microarray data.

What's included

2 videos2 readings4 assignments

2 videos•Total 5 minutes
  • Summary: Fundamentals of Sequencing Data•2 minutes
  • Summary: Fundamentals of Microarray Data•3 minutes
2 readings•Total 17 minutes
  • Sequencing Data•10 minutes
  • Fundamentals of Microarray Data•7 minutes
4 assignments•Total 36 minutes
  • Sequencing Data•20 minutes
  • Fundamentals of Microarray Data•6 minutes
  • Sequencing Data•5 minutes
  • Fundamentals of Microarray Data•5 minutes

In this module, we discuss what are general data analysis tools you may want to consider using. Lastly we cover some basics about annotation that are involved in every omic data analysis workflow.

What's included

1 video3 readings4 assignments

1 video•Total 2 minutes
  • Summary: Annotating Genomes•2 minutes
3 readings•Total 20 minutes
  • General Data Analysis Tools•10 minutes
  • R or Python Video•5 minutes
  • Annotating Genomes•5 minutes
4 assignments•Total 30 minutes
  • General Data Analysis Tools•12 minutes
  • Annotating Genomes•8 minutes
  • General Data Analysis Tools•5 minutes
  • Annotating Genomes•5 minutes

Now that you've learned some fundamentals about omic data, in this section we have a final quiz that tests your absorption of what we've discussed. We also have a Tool Glossary of recommended tools you may want to consider using for your next steps with your omic data.

What's included

1 video2 readings1 assignment

1 video•Total 1 minute
  • Congrats! You completed the course!•1 minute
2 readings•Total 6 minutes
  • Tool Glossary•4 minutes
  • About the authors•2 minutes
1 assignment•Total 45 minutes
  • End of Course Knowledge Check•45 minutes

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Instructor

Instructor ratings
3.0 (5 ratings)
Fred Hutchinson Cancer Center
13 Courses•9,264 learners

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